Software Engineer

USD 124k-271,200 / year + Equity

About the role

Design, build, and own the data pipelines, models, and products that power sales, customer success, and revenue analytics for Zoom's Go-To-Market organization. Partner with business and finance teams to build data systems that power both human analysts and AI agents. Build and ship data products end-to-end using AI-powered tools with full autonomy over the pipeline.

About the team

We build the data foundations that power Zoom's revenue operations. Our team partners across Go-To-Market, Finance, and Engineering to deliver trusted, scalable data products for both business stakeholders and AI-driven workflows. We value curiosity, collaboration, and a shared commitment to making data accessible and actionable for every team we support.

Responsibilities

• Act as the technical lead/primary engineer for Go-To-Market, Revenue Operations, and Sales, translating complex business problems—including forecasting, attribution, and churn—into production-grade data products.
• Treat AI as a core engineering multiplier: use agentic tools (like Claude Code, Cursor, and GitHub Copilot) for rapid prototyping, architecture design, refactoring, and code review. Build LLM-assisted workflows such as automated schema mapping and natural-language query layers.
• Design and build data models (Kimball, Data Vault) and scalable pipelines that ingest and transform Go-To-Market data from Salesforce, product usage, billing, and customer success systems.
• Build unified semantic layers and data marts that connect diverse source systems. Establish data contracts, schema governance, and lineage standards to ensure reliable downstream consumption.
• Balance real-time streaming architectures (Kafka, event-driven pipelines) with modern batch warehouse patterns, working across Snowflake/Databricks, DBT, Fivetran, and Airflow.
• Apply software engineering discipline—CI/CD, automated testing, version control—to build data quality, observability, and monitoring frameworks; mentor peers, contribute to documentation and governance reviews.

Requirements

• Bachelor's degree in Computer Science or Software Engineering.
• 6+ years of experience in software engineering, data architecture, or forward-deployed engineering, with a track record of shipping production-grade data systems.
• Expert proficiency in Python and advanced SQL.
• Hands-on experience with cloud data warehouses or lakehouses (Snowflake, Databricks), transformation tooling (dbt), and orchestration (Airflow, Dagster).
• Strong background in data modeling methodologies (Kimball, Data Vault, dimensional modeling, semantic layer design) applied to complex enterprise domains, ideally in revenue operations or Go-To-Market contexts (e.g., Salesforce, marketing automation, or product telemetry).
• Experience using AI coding tools (such as Claude Code, GitHub Copilot, Cursor) and agentic workflows as an integrated part of daily engineering, with a genuine interest in embedding LLMs into data workflows (e.g., text-to-SQL, automated cataloging, generative data quality testing).
• Working knowledge of real-time event streaming and ingestion architectures (Kafka, event buses, webhooks).
• Familiarity with modern software practices including CI/CD, containerization (Docker), and test-driven development.
• A forward-deployed mindset: consultative, resilient in ambiguity, and focused on user impact and delivery speed. Ability to communicate complex architectural trade-offs clearly to non-technical stakeholders while maintaining credibility with engineering teams.

Pay

Minimum salary: $124,000. Maximum salary: $271,200. In addition to base salary, Zoom offers total direct compensation including bonus and equity value. Starting pay is based on qualifications, experience, and location.

Schedule

Full time. Structured hybrid approach centered around offices and remote work environments.

Benefits

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Learn more.